Cargando…

Evaluation of the clinical efficacy of a TW3-based fully automated bone age assessment system using deep neural networks

PURPOSE: The aim of this study was to evaluate the clinical efficacy of a Tanner-Whitehouse 3 (TW3)-based fully automated bone age assessment system on hand-wrist radiographs of Korean children and adolescents. MATERIALS AND METHODS: Hand-wrist radiographs of 80 subjects (40 boys and 40 girls, 7–15...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shin, Nan-Young, Lee, Byoung-Dai, Kang, Ju-Hee, Kim, Hye-Rin, Oh, Dong Hyo, Lee, Byung Il, Kim, Sung Hyun, Lee, Mu Sook, Heo, Min-Suk
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Korean Academy of Oral and Maxillofacial Radiology 2020
Materias:	Original Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506088/ https://www.ncbi.nlm.nih.gov/pubmed/33005581 http://dx.doi.org/10.5624/isd.2020.50.3.237

Ejemplares similares

A deep learning approach for fully automated measurements of lower extremity alignment in radiographic images
por: Moon, Ki-Ryum, et al.
Publicado: (2023)

Evaluation of Automated Measurement of Hair Density Using Deep Neural Networks
por: Kim, Minki, et al.
Publicado: (2022)

Automated Bone Age Assessment Using Artificial Intelligence: The Future of Bone Age Assessment
por: Lee, Byoung-Dai, et al.
Publicado: (2021)

Overexpression of TwSQS, TwSE, and TwOSC Regulates Celastrol Accumulation in Cambial Meristematic Cells and Dedifferentiated Cells
por: Song, Yadi, et al.
Publicado: (2022)

Fully Automated Deep Learning System for Bone Age Assessment
por: Lee, Hyunkwang, et al.
Publicado: (2017)

Fully stabilized multi-TW optical waveform synthesizer: Toward gigawatt isolated attosecond pulses
por: Xue, Bing, et al.
Publicado: (2020)

Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning
por: Lee, Mu Sook, et al.
Publicado: (2021)

COMPARISON OF TW2 AND TW3 SKELETAL AGE DIFFERENCES IN A BRAZILIAN POPULATION
por: Ortega, Ana Isabel, et al.
Publicado: (2006)

Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach
por: Jang, Hyun-Jong, et al.
Publicado: (2021)

Feasibility of fully automated classification of whole slide images based on deep learning
por: Cho, Kyung-Ok, et al.
Publicado: (2020)

DeepCryoPicker: fully automated deep neural network for single protein particle picking in cryo-EM
por: Al-Azzawi, Adil, et al.
Publicado: (2020)

Automatic Lung Segmentation on Chest X-rays Using Self-Attention Deep Neural Network
por: Kim, Minki, et al.
Publicado: (2021)

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network
por: Huang, Chen, et al.
Publicado: (2019)

Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys
por: Kline, Timothy L., et al.
Publicado: (2017)

Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks
por: Vesal, Sulaiman, et al.
Publicado: (2020)

Fully automated grading system for the evaluation of punctate epithelial erosions using deep neural networks
por: Qu, Jing-Hao, et al.
Publicado: (2023)

Fully automated condyle segmentation using 3D convolutional neural networks
por: Jha, Nayansi, et al.
Publicado: (2022)

Fully automated film mounting in dental radiography: a deep learning model
por: Lin, Yu-Chun, et al.
Publicado: (2023)

Antitumor effect of TW-37, a BH3 mimetic in human oral cancer
por: Ahn, Chi-Hyun, et al.
Publicado: (2019)

Single top: s-channel and tW
por: Finelli, Kevin Daniel
Publicado: (2017)

Strong tW Scattering at the LHC
por: Dror, Jeff Asaf, et al.
Publicado: (2015)

Lecturas sobre T.W. Adorno /
Publicado: (2008)

FLASH-TW experiment status report
por: Liu, T C
Publicado: (2005)

DEWS (DEep White matter hyperintensity Segmentation framework): A fully automated pipeline for detecting small deep white matter hyperintensities in migraineurs
por: Park, Bo-yong, et al.
Publicado: (2018)

D-LMBmap: a fully automated deep-learning pipeline for whole-brain profiling of neural circuitry
por: Li, Zhongyu, et al.
Publicado: (2023)

Development of fully automated anterior chamber cell analysis based on image software
por: Kang, Tae Seen, et al.
Publicado: (2021)

Automated severity scoring of atopic dermatitis patients by a deep neural network
por: Bang, Chul Hwan, et al.
Publicado: (2021)

Deep learning for the fully automated segmentation of the inner ear on MRI
por: Vaidyanathan, Akshayaa, et al.
Publicado: (2021)

Deep Learning for Fully Automated Radiographic Measurements of the Pelvis and Hip
por: Stotter, Christoph, et al.
Publicado: (2023)

Evaluation of a multi-stage convolutional neural network-based fully automated landmark identification system using cone-beam computed tomography-synthesized posteroanterior cephalometric images
por: Kim, Min-Jung, et al.
Publicado: (2021)

Fully automated measurement on coronal alignment of lower limbs using deep convolutional neural networks on radiographic images
por: Meng, Xianghong, et al.
Publicado: (2022)

Fully automated clinical target volume segmentation for glioblastoma radiotherapy using a deep convolutional neural network
por: Sadeghi, Sogand, et al.
Publicado: (2023)

Isolation and Functional Characterization of the Promoters of Miltiradiene Synthase Genes, TwTPS27a and TwTPS27b, and Interaction Analysis with the Transcription Factor TwTGA1 from Tripterygium wilfordii
por: Huo, Yanbo, et al.
Publicado: (2021)

Continuous centrifugal microfluidics (CCM) isolates heterogeneous circulating tumor cells via full automation
por: Woo, Hyeong Jung, et al.
Publicado: (2022)

Validation of deep learning-based fully automated coronary artery calcium scoring using non-ECG-gated chest CT in patients with cancer
por: Choi, Joo Hyeok, et al.
Publicado: (2022)

Automated pancreas segmentation and volumetry using deep neural network on computed tomography
por: Lim, Sang-Heon, et al.
Publicado: (2022)

Automated in-depth cerebral arterial labelling using cerebrovascular vasculature reframing and deep neural networks
por: Hong, Suk-Woo, et al.
Publicado: (2023)

A Fully Automated System Using A Convolutional Neural Network to Predict Renal Allograft Rejection: Extra-validation with Giga-pixel Immunostained Slides
por: Kim, Young-Gon, et al.
Publicado: (2019)

Complete genome of streamlined marine actinobacterium Pontimonas salivibrio strain CL-TW6(T) adapted to coastal planktonic lifestyle
por: Cho, Byung Cheol, et al.
Publicado: (2018)

DeepCentering: fully automated crystal centering using deep learning for macromolecular crystallography
por: Ito, Sho, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_f3pdsnv54kfb41n00p1lclgf6k